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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Dataset Condensation with Gradient Matching
Bo Zhao, Konda Reddy Mopuri 외 1명
arXiv (Cornell University)
|
2020
|
105 회 인용
Deep Meta-Learning: Learning to Learn in the Concept Space
Fengwei Zhou, Bin Wu 외 1명
arXiv (Cornell University)
|
2018
|
105 회 인용
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
Shuochao Yao, Shaohan Hu 외 3명
arXiv (Cornell University)
|
2016
|
105 회 인용
Dense graphs are antimagic
Noga Alon, Gil Kaplan 외 3명
ArXiv.org
|
2003
|
105 회 인용
Dimensionality Reduction as a Defense against Evasion Attacks on Machine Learning Classifiers.
Arjun Nitin Bhagoji, Daniel Cullina 외 1명
arXiv (Cornell University)
|
2017
|
105 회 인용
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
arXiv (Cornell University)
|
2011
|
105 회 인용
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Yu Yao, Tongliang Liu 외 5명
arXiv (Cornell University)
|
2020
|
105 회 인용
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri, Utsav Garg 외 1명
ePrints@IISc (Indian Institute of Science)
|
2017
|
105 회 인용
Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu, Ji Liu 외 3명
arXiv (Cornell University)
|
2020
|
105 회 인용
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu, Yujie Wang 외 3명
arXiv (Cornell University)
|
2017
|
105 회 인용
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